With the rapid development of network technologies such as the Internet of Things, the scale of networks has gradually increased. The P2P networks have been gradually studied, and fault detection and localization for large-scale networks have become a ...

Single-class closed queueing networks, consisting of infinite-server and single-server queues with exponential service times and probabilistic routing, admit product-from solutions. Such solutions, although seemingly tractable, are difficult to ...

Widely used closed product-form networks have emerged recently as a primary model of stochastic growth of subcellular structures, for example, cellular filaments. The baseline bio-molecular model is equivalent to a single-class closed queueing network, ...

Thanks to the fast development of computing hardware and Machine Learning-based (ML) model, many impressive prediction models have been proposed under the topic of traffic flow prediction. While ML models highly improve the accuracy of the prediction ...

It is challenging to secure group communications among large-scale networks due to their network scale. We observe that in many large-scale networks, the scale of actual group communication is nevertheless predicable and not very large. For instance, ...

In this paper, using an autonomous and distributed approach, we aim at realizing a control mechanism, which is scalable in terms of the network size, for joint optimization of the multi-path routing and bandwidth allocation (MRBA). Multi-path routing is ...

In large-scale networks where a continuously on-going monitoring program is needed, using traditional predicate detection algorithms might cause the system to have a single point of failure. This paper presents an on-line distributed algorithm that ...

This paper proposes an efficient information monitoring method in large-scale network, which adjusts its observation intervals according to the information sources' update intervals considering user utility decrease and monitoring cost. The usefulness ...

An analysis of requesting resources from large-scale networks reveals a fundamental challenge. As the network grows, more and more resources become available, and so finding resources that fit experimental test criteria becomes difficult and time ...

In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the friends have strong influence on one's daily life. How to differentiate the social ...

As P2P applications and the amount of users continue to increase rapidly, the problems which the Internet faces, such as network congestion and the difficulty in ensuring Qos etc, become more and more serious. This paper design a model of Distributed ...

This paper deals with the simulation of a multi-agent system based on the Fragmented Mobile Agent Network model. The model consists of agent teams performing remote software management operations and network elements that connect processing nodes and ...

This paper deals with multi-agent systems coordinated via teamwork in large-scale networks. A formal model based on the Fragmented Mobile Agent Network is proposed. An agent team is described as a knowledge-based system that includes subteams consisting ...

The authors created a Web-based integrated education support system that unified the data in the administrative system and the education system in a university. The purpose of the system was to make the administrative system and education system data ...